ParadisEO-MOEO 1.1 tagged

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1067 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
liefooga 2008-03-04 15:50:26 +00:00
commit 884fa98366
147 changed files with 16068 additions and 0 deletions

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Sébastien Cahon
Arnaud Liefooghe
Thomas Legrand
Abdelhakim Deneche

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##########################################################################################################################################
### 0) If you want to set your own variables in moeo-conf.cmake and avoid the cmd line
##########################################################################################################################################
INCLUDE(moeo-conf.cmake OPTIONAL)
##########################################################################################################################################
##########################################################################################################################################
### 1) Project properties
##########################################################################################################################################
# set the project name
PROJECT(ParadisEO-MOEO)
SET(PACKAGE_BUGREPORT "paradiseo-help@lists.gforge.inria.fr" CACHE STRING "Package bug report" FORCE)
SET(PACKAGE_NAME "ParadisEO-MOEO - Multi Objective Evolving Objects" CACHE STRING "Package name" FORCE)
SET(PACKAGE_STRING "ParadisEO-MOEO 1.1" CACHE STRING "MOEO Package string full name" FORCE)
SET(PACKAGE_VERSION "1.1" CACHE STRING "Package version" FORCE)
SET(GLOBAL_VERSION "1.1" CACHE STRING "Global version" FORCE)
SET(VERSION "1.1" CACHE STRING "Version" FORCE)
##########################################################################################################################################
##########################################################################################################################################
### 2) Include the common CMake configuration
##########################################################################################################################################
# The "config" variable must be provided on the command line
IF(NOT DEFINED config OR NOT config)
MESSAGE(FATAL_ERROR "The \"config\" variable must be set on the command line to
give the path of the install configuration file. ")
ENDIF(NOT DEFINED config OR NOT config)
# Need the config file whose full path is given thanks to the "config" variable
INCLUDE(${config})
##########################################################################################################################################

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#############################################################################
# Dart config for report submission
#############################################################################
SET (DROP_METHOD "xmlrpc")
SET (DROP_SITE "http://dart.irisa.fr")
SET (DROP_LOCATION "ParadisEO")
SET (NIGHTLY_START_TIME "23:00:00 WEST")
#############################################################################

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PARADISEO-MOEO README FILE
=======================================================================
check latest news at http://paradiseo.gforge.inria.fr/
=======================================================================
Welcome to ParadisEO-MOEO, the Multi-Objective Evolving Objects library.
The latest news about ParadisEO-MOEO can be found on the gforge repository at
http://paradiseo.gforge.inria.fr/
In case of any problem, please e-mail us at
paradiseo-help@lists.gforge.inria.fr
=======================================================================
BUILDING PARADISEO-MOEO
=======================================================================
The basic installation procedure goes the following.
To compile paradiseo-moeo in the default directory,
go to paradiseo-moeo/build/ and run:
> cmake ../ -Dconfig=<path to the install.cmake file>
> make
// for an easy-use of the provided lessons
> make install
// optional (if the documentation is not already available)
> make doc
To compile paradiseo-moeo anywhere else, simply run:
> cmake $(MOEO) -Dconfig=<path to the install.cmake file>
> make
// for an easy-use of the provided lessons
> make install
// optional (if the documentation is not already available)
> make doc
where $(MOEO) is the top-level directory of PARADISEO-MOEO.
To clean everything, simply run
> make clean
=======================================================================
DIRECTORY STRUCTURE
=======================================================================
After unpacking the archive file, you should end up with the following
structure:
.../ The main PARADISEO-MOEO directory, created when unpacking.
|
|
+-- build BUILD directory that contains libraries and executable files.
|
|
+-- src SOURCE directory that contains PARADISEO-MOEO source files.
|
|
+-- doc DOCUMENTATION directory (generated by Doxygen).
| |
| +-- html HTML files - start at index.html.
| |
| +-- latex latex files - use to generate Postcript doc.
| |
| +-- man Unix man format documentation.
|
|
+-- tutorial TUTORIAL directory that contains with lessons.
|
+-- examples APPLICATIONS - one directory per separate application.
| |
| +-- flowshop Flow-shop scheduling problem example source files.
| |
| +-- benchs Benchmark suites for the flow-shop.
|
+-- Lesson1 A bi-objective flow-shop problem example solved using main MOEAs.
|
+-- Lesson2 NSGA-II to solve the SCH1 problem.
=======================================================================
NOTES
=======================================================================
Mailing list : paradiseo-help@lists.gforge.inria.fr

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##########################################################################################
### MOEO Doc generation using Doxygen
##########################################################################################
IF (DOXYGEN_FOUND)
SET(DOC_DIR ${CMAKE_BINARY_DIR}/doc CACHE PATH "MOEO documentation directory")
SET(MOEO_DOC_CONFIG_FILE "moeo.doxyfile" CACHE PATH "MOEO documentation configuration file")
# define the doc target
IF (DOXYGEN_EXECUTABLE)
ADD_CUSTOM_TARGET(doc
COMMAND ${DOXYGEN_EXECUTABLE} ${MOEO_DOC_CONFIG_FILE}
WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
)
ENDIF (DOXYGEN_EXECUTABLE)
# configure doxyfile file
CONFIGURE_FILE("${CMAKE_SOURCE_DIR}/doc/${MOEO_DOC_CONFIG_FILE}.cmake"
"${CMAKE_BINARY_DIR}/doc/${MOEO_DOC_CONFIG_FILE}")
ELSE (DOXYGEN_FOUND)
MESSAGE(STATUS "Unable to generate the documentation, Doxygen package not found")
ENDIF (DOXYGEN_FOUND)
##########################################################################################

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/** @mainpage Welcome to ParadisEO-MOEO
@section Introduction
ParadisEO-MOEO is a white-box object-oriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms.
This paradigm-free software embeds some features and techniques for Pareto-based resolution and
aims to provide a set of classes allowing to ease and speed up the development of computationally efficient programs.
It is based on a clear conceptual distinction between the solution methods and the multi-objective problems they are intended to solve.
This separation confers a maximum design and code reuse.
ParadisEO-MOEO provides a broad range of archive-related features (such as elitism or performance metrics)
and the most common Pareto-based fitness assignment strategies (MOGA, NSGA, SPEA, IBEA and more).
Furthermore, parallel and distributed models as well as hybridization mechanisms can be applied to an algorithm designed within ParadisEO-MOEO
using the whole version of ParadisEO.
@section tutorials Tutorials
Tutorials for ParadisEO-MOEO are available <a href="http://paradiseo.gforge.inria.fr/index.php?n=Paradiseo.UsersGuides">here</a>.
@section Installation
The installation procedure of the package is detailed in the <a
href="../../README">README</a> file in the top-directory of the source-tree.
@section Design
For an introduction to the design of ParadisEO-MOEO,
you can look at the <a href="http://paradiseo.gforge.inria.fr">ParadisEO website</a>.
@section LICENSE
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can use,
modify and/ or redistribute the software under the terms of the CeCILL
license as circulated by CEA, CNRS and INRIA at the following URL
"http://www.cecill.info".
As a counterpart to the access to the source code and rights to copy,
modify and redistribute granted by the license, users are provided only
with a limited warranty and the software's author, the holder of the
economic rights, and the successive licensors have only limited liability.
In this respect, the user's attention is drawn to the risks associated
with loading, using, modifying and/or developing or reproducing the
software by the user in light of its specific status of free software,
that may mean that it is complicated to manipulate, and that also
therefore means that it is reserved for developers and experienced
professionals having in-depth computer knowledge. Users are therefore
encouraged to load and test the software's suitability as regards their
requirements in conditions enabling the security of their systems and/or
data to be ensured and, more generally, to use and operate it in the
same conditions as regards security.
The fact that you are presently reading this means that you have had
knowledge of the CeCILL license and that you accept its terms.
ParadisEO WebSite : http://paradiseo.gforge.inria.fr
Contact: paradiseo-help@lists.gforge.inria.fr
*/
/** @page webpages Related webpages
- ParadisEO <a href="http://paradiseo.gforge.inria.fr">homepage</a>
- INRIA GForge <a href="http://gforge.inria.fr/projects/paradiseo/">project page</a>
- <a href="../../README">README</a>
*/

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ENABLED_SECTIONS =
MAX_INITIALIZER_LINES = 30
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COLS_IN_ALPHA_INDEX = 3
IGNORE_PREFIX = moeo
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TREEVIEW_WIDTH = 250
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# configuration options related to the RTF output
#---------------------------------------------------------------------------
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RTF_OUTPUT = rtf
COMPACT_RTF = NO
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RTF_STYLESHEET_FILE =
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#---------------------------------------------------------------------------
# configuration options related to the man page output
#---------------------------------------------------------------------------
GENERATE_MAN = YES
MAN_OUTPUT = man
MAN_EXTENSION = .3
MAN_LINKS = NO
#---------------------------------------------------------------------------
# configuration options related to the XML output
#---------------------------------------------------------------------------
GENERATE_XML = NO
XML_OUTPUT = xml
XML_SCHEMA =
XML_DTD =
XML_PROGRAMLISTING = YES
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# configuration options for the AutoGen Definitions output
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#---------------------------------------------------------------------------
# Configuration::additions related to the search engine
#---------------------------------------------------------------------------
SEARCHENGINE = YES

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/** @mainpage Welcome to ParadisEO-MOEO
@section Introduction
ParadisEO-MOEO is a white-box object-oriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms.
This paradigm-free software embeds some features and techniques for Pareto-based resolution and
aims to provide a set of classes allowing to ease and speed up the development of computationally efficient programs.
It is based on a clear conceptual distinction between the solution methods and the multi-objective problems they are intended to solve.
This separation confers a maximum design and code reuse.
ParadisEO-MOEO provides a broad range of archive-related features (such as elitism or performance metrics)
and the most common Pareto-based fitness assignment strategies (MOGA, NSGA, SPEA, IBEA and more).
Furthermore, parallel and distributed models as well as hybridization mechanisms can be applied to an algorithm designed within ParadisEO-MOEO
using the whole version of ParadisEO.
@section tutorials Tutorials
Tutorials for ParadisEO-MOEO are available <a href="http://paradiseo.gforge.inria.fr/index.php?n=Paradiseo.UsersGuides">here</a>.
@section Installation
The installation procedure of the package is detailed in the <a
href="../../README">README</a> file in the top-directory of the source-tree.
@section Design
For an introduction to the design of ParadisEO-MOEO,
you can look at the <a href="http://paradiseo.gforge.inria.fr">ParadisEO website</a>.
@section LICENSE
This software is governed by the CeCILL license under French law and
abiding by the rules of distribution of free software. You can use,
modify and/ or redistribute the software under the terms of the CeCILL
license as circulated by CEA, CNRS and INRIA at the following URL
"http://www.cecill.info".
As a counterpart to the access to the source code and rights to copy,
modify and redistribute granted by the license, users are provided only
with a limited warranty and the software's author, the holder of the
economic rights, and the successive licensors have only limited liability.
In this respect, the user's attention is drawn to the risks associated
with loading, using, modifying and/or developing or reproducing the
software by the user in light of its specific status of free software,
that may mean that it is complicated to manipulate, and that also
therefore means that it is reserved for developers and experienced
professionals having in-depth computer knowledge. Users are therefore
encouraged to load and test the software's suitability as regards their
requirements in conditions enabling the security of their systems and/or
data to be ensured and, more generally, to use and operate it in the
same conditions as regards security.
The fact that you are presently reading this means that you have had
knowledge of the CeCILL license and that you accept its terms.
ParadisEO WebSite : http://paradiseo.gforge.inria.fr
Contact: paradiseo-help@lists.gforge.inria.fr
*/
/** @page webpages Related webpages
- ParadisEO <a href="http://paradiseo.gforge.inria.fr">homepage</a>
- INRIA GForge <a href="http://gforge.inria.fr/projects/paradiseo/">project page</a>
- <a href="../../README">README</a>
*/

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######################################################################################
######################################################################################
### In this file, you can specify many CMake variables used to build paradisEO-MOEO.
######################################################################################
######################################################################################
######################################################################################
### 1) OPTIONNAL
######################################################################################
# SET (MYVAR MYVALUE)
######################################################################################
#####################################################################################
### 2) OPTIONNAL - Overwrite subdirs
######################################################################################
# SUBDIRS(doc tutorial)
######################################################################################

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######################################################################################
### 1) Include the sources
######################################################################################
INCLUDE_DIRECTORIES(${EO_SRC_DIR})
INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR})
######################################################################################
######################################################################################
### 2) Define your target(s): just the moeo lib here.
######################################################################################
SET(MOEO_LIB_OUTPUT_PATH ${ParadisEO-MOEO_BINARY_DIR}/lib)
SET(LIBRARY_OUTPUT_PATH ${MOEO_LIB_OUTPUT_PATH})
SET (MOEO_SOURCES core/moeoObjectiveVectorTraits.cpp)
ADD_LIBRARY(moeo STATIC ${MOEO_SOURCES})
######################################################################################
######################################################################################
### 3) Optionnal: define your target(s)'s version: no effect for windows
######################################################################################
SET(MOEO_VERSION ${GLOBAL_VERSION})
SET_TARGET_PROPERTIES(moeo PROPERTIES VERSION "${MOEO_VERSION}")
######################################################################################

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/*
* <moeoAlgo.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOALGO_H_
#define MOEOALGO_H_
/**
* Abstract class for multi-objective algorithms.
*/
class moeoAlgo
{};
#endif /*MOEOALGO_H_*/

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/*
* <moeoCombinedLS.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOCOMBINEDLS_H_
#define MOEOCOMBINEDLS_H_
#include <vector>
#include <algo/moeoLS.h>
#include <archive/moeoArchive.h>
/**
* This class allows to embed a set of local searches that are sequentially applied,
* and so working and updating the same archive of non-dominated solutions.
*/
template < class MOEOT, class Type >
class moeoCombinedLS : public moeoLS < MOEOT, Type >
{
public:
/**
* Ctor
* @param _first_mols the first multi-objective local search to add
*/
moeoCombinedLS(moeoLS < MOEOT, Type > & _first_mols)
{
combinedLS.push_back (& _first_mols);
}
/**
* Adds a new local search to combine
* @param _mols the multi-objective local search to add
*/
void add(moeoLS < MOEOT, Type > & _mols)
{
combinedLS.push_back(& _mols);
}
/**
* Gives a new solution in order to explore the neigborhood.
* The new non-dominated solutions are added to the archive
* @param _type the object to apply the local search to
* @param _arch the archive of non-dominated solutions
*/
void operator () (Type _type, moeoArchive < MOEOT > & _arch)
{
for (unsigned int i=0; i<combinedLS.size(); i++)
combinedLS[i] -> operator()(_type, _arch);
}
private:
/** the vector that contains the combined LS */
std::vector< moeoLS < MOEOT, Type > * > combinedLS;
};
#endif /*MOEOCOMBINEDLS_H_*/

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/*
* <moeoEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOEA_H_
#define MOEOEA_H_
#include <eoAlgo.h>
#include <algo/moeoAlgo.h>
/**
* Abstract class for multi-objective evolutionary algorithms.
*/
template < class MOEOT >
class moeoEA : public moeoAlgo, public eoAlgo < MOEOT >
{};
#endif /*MOEOEA_H_*/

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/*
* <moeoEasyEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef _MOEOEASYEA_H
#define _MOEOEASYEA_H
#include <apply.h>
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoMergeReduce.h>
#include <eoPopEvalFunc.h>
#include <eoSelect.h>
#include <eoTransform.h>
#include <algo/moeoEA.h>
#include <diversity/moeoDiversityAssignment.h>
#include <diversity/moeoDummyDiversityAssignment.h>
#include <fitness/moeoFitnessAssignment.h>
#include <replacement/moeoReplacement.h>
/**
* An easy class to design multi-objective evolutionary algorithms.
*/
template < class MOEOT >
class moeoEasyEA: public moeoEA < MOEOT >
{
public:
/**
* Ctor taking a breed and merge.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _breed the breeder
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval (_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a breed, a merge and a eoPopEval.
* @param _continuator the stopping criteria
* @param _popEval the evaluation functions for the whole population
* @param _breed the breeder
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval (dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a breed, a merge and a reduce.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _breed the breeder
* @param _merge the merge scheme
* @param _reduce the reduce scheme
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, eoMerge < MOEOT > & _merge, eoReduce< MOEOT > & _reduce,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(_merge,_reduce), replace(mergeReduce),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a select, a transform and a replacement.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _select the selection scheme
* @param _transform the tranformation scheme
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a select, a transform, a merge and a reduce.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _select the selection scheme
* @param _transform the tranformation scheme
* @param _merge the merge scheme
* @param _reduce the reduce scheme
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, eoMerge < MOEOT > & _merge, eoReduce< MOEOT > & _reduce,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), mergeReduce(_merge,_reduce), replace(mergeReduce),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Applies a few generation of evolution to the population _pop.
* @param _pop the population
*/
virtual void operator()(eoPop < MOEOT > & _pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval(empty_pop, _pop); // A first eval of pop.
bool firstTime = true;
do
{
try
{
unsigned int pSize = _pop.size();
offspring.clear(); // new offspring
// fitness and diversity assignment (if you want to or if it is the first generation)
if (evalFitAndDivBeforeSelection || firstTime)
{
firstTime = false;
fitnessEval(_pop);
diversityEval(_pop);
}
breed(_pop, offspring);
popEval(_pop, offspring); // eval of parents + offspring if necessary
replace(_pop, offspring); // after replace, the new pop. is in _pop
if (pSize > _pop.size())
{
throw std::runtime_error("Population shrinking!");
}
else if (pSize < _pop.size())
{
throw std::runtime_error("Population growing!");
}
}
catch (std::exception& e)
{
std::string s = e.what();
s.append( " in moeoEasyEA");
throw std::runtime_error( s );
}
}
while (continuator(_pop));
}
protected:
/** the stopping criteria */
eoContinue < MOEOT > & continuator;
/** the evaluation functions */
eoEvalFunc < MOEOT > & eval;
/** to evaluate the whole population */
eoPopLoopEval < MOEOT > loopEval;
/** to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** breed: a select followed by a transform */
eoSelectTransform < MOEOT > selectTransform;
/** the breeder */
eoBreed < MOEOT > & breed;
/** replacement: a merge followed by a reduce */
eoMergeReduce < MOEOT > mergeReduce;
/** the replacment strategy */
moeoReplacement < MOEOT > & replace;
/** the fitness assignment strategy */
moeoFitnessAssignment < MOEOT > & fitnessEval;
/** the diversity assignment strategy */
moeoDiversityAssignment < MOEOT > & diversityEval;
/** if this parameter is set to 'true', the fitness and the diversity of the whole population will be re-evaluated before the selection process */
bool evalFitAndDivBeforeSelection;
/** a dummy eval */
class eoDummyEval : public eoEvalFunc < MOEOT >
{
public: /** the dummy functor */
void operator()(MOEOT &)
{}
}
dummyEval;
/** a dummy select */
class eoDummySelect : public eoSelect < MOEOT >
{
public: /** the dummy functor */
void operator()(const eoPop < MOEOT > &, eoPop < MOEOT > &)
{}
}
dummySelect;
/** a dummy transform */
class eoDummyTransform : public eoTransform < MOEOT >
{
public: /** the dummy functor */
void operator()(eoPop < MOEOT > &)
{}
}
dummyTransform;
/** a dummy merge */
eoNoElitism < MOEOT > dummyMerge;
/** a dummy reduce */
eoTruncate < MOEOT > dummyReduce;
};
#endif /*MOEOEASYEA_H_*/

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/*
* <moeoHybridLS.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOHYBRIDLS_H_
#define MOEOHYBRIDLS_H_
#include <eoContinue.h>
#include <eoPop.h>
#include <eoSelect.h>
#include <utils/eoUpdater.h>
#include <algo/moeoLS.h>
#include <archive/moeoArchive.h>
/**
* This class allows to apply a multi-objective local search to a number of selected individuals contained in the archive
* at every generation until a stopping criteria is verified.
*/
template < class MOEOT >
class moeoHybridLS : public eoUpdater
{
public:
/**
* Ctor
* @param _term stopping criteria
* @param _select selector
* @param _mols a multi-objective local search
* @param _arch the archive
*/
moeoHybridLS (eoContinue < MOEOT > & _term, eoSelect < MOEOT > & _select, moeoLS < MOEOT, MOEOT > & _mols, moeoArchive < MOEOT > & _arch) :
term(_term), select(_select), mols(_mols), arch(_arch)
{}
/**
* Applies the multi-objective local search to selected individuals contained in the archive if the stopping criteria is not verified
*/
void operator () ()
{
if (! term (arch))
{
// selection of solutions
eoPop < MOEOT > selectedSolutions;
select(arch, selectedSolutions);
// apply the local search to every selected solution
for (unsigned int i=0; i<selectedSolutions.size(); i++)
{
mols(selectedSolutions[i], arch);
}
}
}
private:
/** stopping criteria */
eoContinue < MOEOT > & term;
/** selector */
eoSelect < MOEOT > & select;
/** multi-objective local search */
moeoLS < MOEOT, MOEOT > & mols;
/** archive */
moeoArchive < MOEOT > & arch;
};
#endif /*MOEOHYBRIDLS_H_*/

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/*
* <moeoIBEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOIBEA_H_
#define MOEOIBEA_H_
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoDummyDiversityAssignment.h>
#include <fitness/moeoExpBinaryIndicatorBasedFitnessAssignment.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
#include <replacement/moeoEnvironmentalReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
/**
* IBEA (Indicator-Based Evolutionary Algorithm) as described in:
* E. Zitzler, S. Künzli, "Indicator-Based Selection in Multiobjective Search", Proc. 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), pp. 832-842, Birmingham, UK (2004).
* This class builds the IBEA algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
*/
template < class MOEOT >
class moeoIBEA : public moeoEA < MOEOT >
{
public:
/** The type of objective vector */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Simple ctor with a eoGenOp.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _op variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Simple ctor with a eoTransform.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _op variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select (2),
fitnessAssignment(_metric, _kappa), replace (fitnessAssignment, dummyDiversityAssignment), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut),
genBreed (select, defaultSGAGenOp), breed (genBreed)
{}
/**
* Ctor with a continuator (instead of _maxGen) and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
continuator(_continuator), popEval(_eval), select(2),
fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Ctor with a continuator (instead of _maxGen) and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operator
* @param _metric metric
* @param _kappa scaling factor kappa
*/
moeoIBEA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > & _metric, const double _kappa=0.05) :
continuator(_continuator), popEval(_eval), select(2),
fitnessAssignment(_metric, _kappa), replace(fitnessAssignment, dummyDiversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop
// evaluate fitness and diversity
fitnessAssignment(_pop);
dummyDiversityAssignment(_pop);
do
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
// eval of offspring
popEval (_pop, offspring);
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
}
while (continuator (_pop));
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** evaluation function used to evaluate the whole population */
eoPopLoopEval < MOEOT > popEval;
/** binary tournament selection */
moeoDetTournamentSelect < MOEOT > select;
/** fitness assignment used in IBEA */
moeoExpBinaryIndicatorBasedFitnessAssignment < MOEOT > fitnessAssignment;
/** dummy diversity assignment */
moeoDummyDiversityAssignment < MOEOT > dummyDiversityAssignment;
/** elitist replacement */
moeoEnvironmentalReplacement < MOEOT > replace;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
};
#endif /*MOEOIBEA_H_*/

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/*
* <moeoLS.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOLS_H_
#define MOEOLS_H_
#include <eoFunctor.h>
#include <algo/moeoAlgo.h>
#include <archive/moeoArchive.h>
/**
* Abstract class for local searches applied to multi-objective optimization.
* Starting from a Type (i.e.: an individual, a pop, an archive...), it produces a set of new non-dominated solutions.
*/
template < class MOEOT, class Type >
class moeoLS: public moeoAlgo, public eoBF < Type, moeoArchive < MOEOT > &, void >
{};
#endif /*MOEOLS_H_*/

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/*
* <moeoNSGA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEONSGA_H_
#define MOEONSGA_H_
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoFrontByFrontSharingDiversityAssignment.h>
#include <fitness/moeoFastNonDominatedSortingFitnessAssignment.h>
#include <replacement/moeoElitistReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
/**
* NSGA (Non-dominated Sorting Genetic Algorithm) as described in:
* N. Srinivas, K. Deb, "Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms".
* Evolutionary Computation, Vol. 2(3), No 2, pp. 221-248 (1994).
* This class builds the NSGA algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
*/
template < class MOEOT >
class moeoNSGA: public moeoEA < MOEOT >
{
public:
/**
* Simple ctor with a eoGenOp.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _op variation operator
* @param _nicheSize niche size
*/
moeoNSGA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, double _nicheSize = 0.5) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
diversityAssignment(_nicheSize), replace(fitnessAssignment, diversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Simple ctor with a eoTransform.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _op variation operator
* @param _nicheSize niche size
*/
moeoNSGA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, double _nicheSize = 0.5) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
diversityAssignment(_nicheSize), replace(fitnessAssignment, diversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
* @param _nicheSize niche size
*/
moeoNSGA (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut, double _nicheSize = 0.5) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select (2),
diversityAssignment(_nicheSize), replace (fitnessAssignment, diversityAssignment),
defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut), genBreed (select, defaultSGAGenOp), breed (genBreed)
{}
/**
* Ctor with a continuator (instead of _maxGen) and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operator
* @param _nicheSize niche size
*/
moeoNSGA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op, double _nicheSize = 0.5) :
continuator(_continuator), popEval(_eval), select(2),
diversityAssignment(_nicheSize), replace(fitnessAssignment, diversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Ctor with a continuator (instead of _maxGen) and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operator
* @param _nicheSize niche size
*/
moeoNSGA (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op, double _nicheSize = 0.5) :
continuator(_continuator), popEval(_eval), select(2),
diversityAssignment(_nicheSize), replace(fitnessAssignment, diversityAssignment), genBreed(select, _op), breed(genBreed)
{}
/**
* Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop
// evaluate fitness and diversity
fitnessAssignment(_pop);
diversityAssignment(_pop);
do
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
// eval of offspring
popEval (_pop, offspring);
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
}
while (continuator (_pop));
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** evaluation function used to evaluate the whole population */
eoPopLoopEval < MOEOT > popEval;
/** binary tournament selection */
moeoDetTournamentSelect < MOEOT > select;
/** fitness assignment used in NSGA-II */
moeoFastNonDominatedSortingFitnessAssignment < MOEOT > fitnessAssignment;
/** diversity assignment used in NSGA-II */
moeoFrontByFrontSharingDiversityAssignment < MOEOT > diversityAssignment;
/** elitist replacement */
moeoElitistReplacement < MOEOT > replace;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
};
#endif /*MOEONSGAII_H_*/

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@ -0,0 +1,190 @@
/*
* <moeoNSGAII.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEONSGAII_H_
#define MOEONSGAII_H_
#include <eoBreed.h>
#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenContinue.h>
#include <eoGeneralBreeder.h>
#include <eoGenOp.h>
#include <eoPopEvalFunc.h>
#include <eoSGAGenOp.h>
#include <algo/moeoEA.h>
#include <diversity/moeoFrontByFrontCrowdingDiversityAssignment.h>
#include <fitness/moeoFastNonDominatedSortingFitnessAssignment.h>
#include <replacement/moeoElitistReplacement.h>
#include <selection/moeoDetTournamentSelect.h>
#include <eoCloneOps.h>
/**
* NSGA-II (Non-dominated Sorting Genetic Algorithm II) as described in:
* Deb, K., S. Agrawal, A. Pratap, and T. Meyarivan : "A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II".
* In IEEE Transactions on Evolutionary Computation, Vol. 6, No 2, pp 182-197 (April 2002).
* This class builds the NSGA-II algorithm only by using the fine-grained components of the ParadisEO-MOEO framework.
*/
template < class MOEOT >
class moeoNSGAII: public moeoEA < MOEOT >
{
public:
/**
* Simple ctor with a eoGenOp.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _op variation operator
*/
moeoNSGAII (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
replace(fitnessAssignment, diversityAssignment), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0),
genBreed(select, _op), breed(genBreed)
{}
/**
* Simple ctor with a eoTransform.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _op variation operator
*/
moeoNSGAII (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select(2),
replace(fitnessAssignment, diversityAssignment), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0),
genBreed(select, _op), breed(genBreed)
{}
/**
* Ctor with a crossover, a mutation and their corresponding rates.
* @param _maxGen number of generations before stopping
* @param _eval evaluation function
* @param _crossover crossover
* @param _pCross crossover probability
* @param _mutation mutation
* @param _pMut mutation probability
*/
moeoNSGAII (unsigned int _maxGen, eoEvalFunc < MOEOT > & _eval, eoQuadOp < MOEOT > & _crossover, double _pCross, eoMonOp < MOEOT > & _mutation, double _pMut) :
defaultGenContinuator(_maxGen), continuator(defaultGenContinuator), popEval(_eval), select (2),
replace (fitnessAssignment, diversityAssignment), defaultSGAGenOp(_crossover, _pCross, _mutation, _pMut),
genBreed (select, defaultSGAGenOp), breed (genBreed)
{}
/**
* Ctor with a continuator (instead of _maxGen) and a eoGenOp.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operator
*/
moeoNSGAII (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoGenOp < MOEOT > & _op) :
defaultGenContinuator(0), continuator(_continuator), popEval(_eval), select(2),
replace(fitnessAssignment, diversityAssignment), defaultSGAGenOp(defaultQuadOp, 1.0, defaultMonOp, 1.0),
genBreed(select, _op), breed(genBreed)
{}
/**
* Ctor with a continuator (instead of _maxGen) and a eoTransform.
* @param _continuator stopping criteria
* @param _eval evaluation function
* @param _op variation operator
*/
moeoNSGAII (eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoTransform < MOEOT > & _op) :
continuator(_continuator), popEval(_eval), select(2),
replace(fitnessAssignment, diversityAssignment), defaultSGAGenOp(defaultQuadOp, 0.0, defaultMonOp, 0.0),
genBreed(select, _op), breed(genBreed)
{}
/**
* Apply a few generation of evolution to the population _pop until the stopping criteria is verified.
* @param _pop the population
*/
virtual void operator () (eoPop < MOEOT > &_pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval (empty_pop, _pop); // a first eval of _pop
// evaluate fitness and diversity
fitnessAssignment(_pop);
diversityAssignment(_pop);
do
{
// generate offspring, worths are recalculated if necessary
breed (_pop, offspring);
// eval of offspring
popEval (_pop, offspring);
// after replace, the new pop is in _pop. Worths are recalculated if necessary
replace (_pop, offspring);
}
while (continuator (_pop));
}
protected:
/** a continuator based on the number of generations (used as default) */
eoGenContinue < MOEOT > defaultGenContinuator;
/** stopping criteria */
eoContinue < MOEOT > & continuator;
/** evaluation function used to evaluate the whole population */
eoPopLoopEval < MOEOT > popEval;
/** binary tournament selection */
moeoDetTournamentSelect < MOEOT > select;
/** fitness assignment used in NSGA-II */
moeoFastNonDominatedSortingFitnessAssignment < MOEOT > fitnessAssignment;
/** diversity assignment used in NSGA-II */
moeoFrontByFrontCrowdingDiversityAssignment < MOEOT > diversityAssignment;
/** elitist replacement */
moeoElitistReplacement < MOEOT > replace;
/** a default crossover */
eoQuadCloneOp < MOEOT > defaultQuadOp;
/** a default mutation */
eoMonCloneOp < MOEOT > defaultMonOp;
/** an object for genetic operators (used as default) */
eoSGAGenOp < MOEOT > defaultSGAGenOp;
/** general breeder */
eoGeneralBreeder < MOEOT > genBreed;
/** breeder */
eoBreed < MOEOT > & breed;
};
#endif /*MOEONSGAII_H_*/

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@ -0,0 +1,206 @@
/*
* <moeoArchive.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
#ifndef MOEOARCHIVE_H_
#define MOEOARCHIVE_H_
#include <eoPop.h>
#include <comparator/moeoObjectiveVectorComparator.h>
#include <comparator/moeoParetoObjectiveVectorComparator.h>
/**
* An archive is a secondary population that stores non-dominated solutions.
*/
template < class MOEOT >
class moeoArchive : public eoPop < MOEOT >
{
public:
using eoPop < MOEOT > :: size;
using eoPop < MOEOT > :: resize;
using eoPop < MOEOT > :: operator[];
using eoPop < MOEOT > :: back;
using eoPop < MOEOT > :: pop_back;
/**
* The type of an objective vector for a solution
*/
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/**
* Default ctor.
* The moeoObjectiveVectorComparator used to compare solutions is based on Pareto dominance
*/
moeoArchive() : eoPop < MOEOT >(), comparator(paretoComparator)
{}
/**
* Ctor
* @param _comparator the moeoObjectiveVectorComparator used to compare solutions
*/
moeoArchive(moeoObjectiveVectorComparator < ObjectiveVector > & _comparator) : eoPop < MOEOT >(), comparator(_comparator)
{}
/**
* Returns true if the current archive dominates _objectiveVector according to the moeoObjectiveVectorComparator given in the constructor
* @param _objectiveVector the objective vector to compare with the current archive
*/
bool dominates (const ObjectiveVector & _objectiveVector) const
{
for (unsigned int i = 0; i<size(); i++)
{
// if _objectiveVector is dominated by the ith individual of the archive...
if ( comparator(_objectiveVector, operator[](i).objectiveVector()) )
{
return true;
}
}
return false;
}
/**
* Returns true if the current archive already contains a solution with the same objective values than _objectiveVector
* @param _objectiveVector the objective vector to compare with the current archive
*/
bool contains (const ObjectiveVector & _objectiveVector) const
{
for (unsigned int i = 0; i<size(); i++)
{
if (operator[](i).objectiveVector() == _objectiveVector)
{
return true;
}
}
return false;
}
/**
* Updates the archive with a given individual _moeo
* @param _moeo the given individual
*/
void update (const MOEOT & _moeo)
{
// first step: removing the dominated solutions from the archive
for (unsigned int j=0; j<size();)
{
// if the jth solution contained in the archive is dominated by _moeo
if ( comparator(operator[](j).objectiveVector(), _moeo.objectiveVector()) )
{
operator[](j) = back();
pop_back();
}
else if (_moeo.objectiveVector() == operator[](j).objectiveVector())
{
operator[](j) = back();
pop_back();
}
else
{
j++;
}
}
// second step: is _moeo dominated?
bool dom = false;
for (unsigned int j=0; j<size(); j++)
{
// if _moeo is dominated by the jth solution contained in the archive
if ( comparator(_moeo.objectiveVector(), operator[](j).objectiveVector()) )
{
dom = true;
break;
}
}
if (!dom)
{
push_back(_moeo);
}
}
/**
* Updates the archive with a given population _pop
* @param _pop the given population
*/
void update (const eoPop < MOEOT > & _pop)
{
for (unsigned int i=0; i<_pop.size(); i++)
{
update(_pop[i]);
}
}
/**
* Returns true if the current archive contains the same objective vectors than the given archive _arch
* @param _arch the given archive
*/
bool equals (const moeoArchive < MOEOT > & _arch)
{
for (unsigned int i=0; i<size(); i++)
{
if (! _arch.contains(operator[](i).objectiveVector()))
{
return false;
}
}
for (unsigned int i=0; i<_arch.size() ; i++)
{
if (! contains(_arch[i].objectiveVector()))
{
return false;
}
}
return true;
}
private:
/** The moeoObjectiveVectorComparator used to compare solutions */
moeoObjectiveVectorComparator < ObjectiveVector > & comparator;
/** A moeoObjectiveVectorComparator based on Pareto dominance (used as default) */
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
};
#endif /*MOEOARCHIVE_H_ */

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